Large-scale whole blood RNA-Seq identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis
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Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis.
Abstract
<h4>Background & aims</h4>Genetic and microbiome studies across patients with primary sclerosing cholangitis (PSC) and ulcerative colitis (UC) have indicated that UC in PSC is a separate disease entity to primary UC, but expression studies for PSC are lacking.<h4>Methods</h4>We conducted whole blood RNA sequencing experiments for 495 patients with UC, 220 patients with PSC (including 177 with UC), and 320 healthy controls from Germany and Norway. Differential expression analyses, gene ontology and coexpression analyses and random forest machine learning were performed to identify genes, ontologies and transcriptional features that discriminate diagnoses.<h4>Results</h4>The blood transcriptome in UC and PSC is dominated by neutrophil activation genes (<i>e.g. S100A12</i>). In UC, but not in PSC (neither PSC alone nor patients with an additional diagnosis of UC [PSC/UC]), ribosomal, mitochondrial, and energy metabolism genes are upregulated in conjunction with antibody transcript expression (<i>MZB1</i>, <i>IGJ</i>). In PSC, there is an increase in modules related to apoptosis and expression of genes of interferon-I-related ontologies. Random forest analysis could poorly discriminate PSC alone from PSC/UC (AUROC 0.56), but could discriminate PSC, UC, and controls with high accuracy (AUROC UC <i>vs.</i> controls 0.95, PSC <i>vs.</i> controls 0.88, UC <i>vs.</i> PSC 0.986). The main coexpression modules relevant for distinguishing PSC, UC, and controls are enriched in neutrophil degranulation and antibody production genes.<h4>Conclusions</h4>Supported by machine learning results, PSC and UC appear to be separate entities on a molecular level, while PSC/UC and PSC are indistinguishable.<h4>Impact and implications</h4>Clinical and genetic studies suggest that the colitis-like symptoms in primary sclerosing cholangitis (PSC) represent a different disease entity from primary ulcerative colitis (UC). The present study supports this assumption with transcriptomic data from whole blood and describes notable differences in gene expression between primary UC and PSC, providing insights into the still unclear pathophysiology of both diseases. These findings are of interest to scientists seeking to decipher the molecular pathophysiology of both diseases and provide evidence that a redefinition of the PSC-UC phenotype should be considered. The study practically supports future molecular research by providing a large transcriptomic whole blood reference cohort.
doi:10.1016/j.jhepr.2023.100988 ↗ PMID 38304234 ↗ PMC10832281 ↗
Study facts
- Organism
- Homo sapiens
- Platform
- Illumina HiSeq2500
- Age group
- adult
- Disease groups
- Non-IBD controls, Ulcerative colitis
- Anatomical sites
- —
Data availability
- Analysis code
Strengths & limitations for reuse
Strengths
- Analysis code is available
- Participant counts are documented
Limitations
- Not documented: raw reads are advertised
- Not documented: feature/otu tables are advertised
- Not documented: taxonomic tables are advertised
Extraction evidence & provenance
Each extracted field is shown with the source excerpt and location used to resolve it.
Assay
| Field | Value | Evidence |
|---|---|---|
assay.paired_end |
False |
Single reads of a length of 50 base pairs Section |
assay.platform |
Illumina HiSeq2500 |
Single reads of a length of 50 base pairs were sequenced on an Illumina HiSeq2500. Section |
assay.read_length |
50 |
Single reads of a length of 50 base pairs Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
adult |
an age of onset of at least 13 years and an age at sampling of 18 years Section |
cohort.non_ibd_controls |
320 |
whole blood RNA-Seq experiments for 495 UC patients, 220 PSC patients ... and 320 healthy controls Section |
cohort.study_design |
cross_sectional |
two case-control cohorts of patients Section |
cohort.total_participants |
1035 computed |
The first cohort comprises 495 patients with UC and 243 healthy controls from Germany, the second cohort comprises 220 patients with PSC... and 77 healthy controls from Norway Section |
cohort.ulcerative_colitis_participants |
672 computed |
The first cohort comprises 495 patients with UC ... the second cohort comprises 220 patients with PSC, of whom 177 were diagnosed with a comorbid UC Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.analysis_code |
True |
All scripts used for analysis of the data are available via Github Section |
data_assets.open_access |
True from source |
inPMC: "Y" ... license: "cc by" Section |
data_assets.pipeline_or_tool_versions |
True |
nf-core-rna-seq pipeline ... version 1.3 Section |
data_assets.qc_or_negative_controls_reported |
True |
After sequencing, data pre-processing and quality control Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.body_site |
peripheral whole blood |
The expression of genes was studied in peripheral whole blood samples Section |